The Amazon India ML team is developing state-of-the-art, large-scale Machine Learning methods and applications involving terabytes of data. The group focuses on Deep Learning problems in: Sponsored Products: the group will be responsible for growing Ads business through semantic matching of customer query to products, automated bidding for sellers, and matching Ads to customer videos on MiniTV. Personalisation: the group will be developing state-of-the-art ML models for targeting and automating marketing campaigns to customers with the goal of growing the category business in India. Key Job Responsibilities You will be responsible for building a team of scientists who are experienced in taking an idea to reality - from prototype to a customer-facing product, their career development, as well as the road map definition and prioritization for the organization. You will be expected to be heavily entrepreneurial in style and experienced to develop a business plan as well as dive deep into the scientific and technical details of the technology your team is building. This team also publishes our research in the best venues internationally. As part of this team, you will take on challenging, novel problems every day and collaborate with cross-functional teams. You'll need to be comfortable with a degree of ambiguity that's higher than most projects and love the idea of solving problems that have never been solved before. You will provide ML thought leadership to technical and business leaders and have a demonstrated ability to think strategically about business, product, and technical challenges. BASIC QUALIFICATIONS 3+ years of scientists or machine learning engineers management experience Knowledge of ML, NLP, Information Retrieval, and Analytics PREFERRED QUALIFICATIONS Experience building machine learning models or developing algorithms for business application Experience building complex software systems, especially involving deep learning, machine learning, and computer vision, that have been successfully delivered to customers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
May 13, 2025
Full time
The Amazon India ML team is developing state-of-the-art, large-scale Machine Learning methods and applications involving terabytes of data. The group focuses on Deep Learning problems in: Sponsored Products: the group will be responsible for growing Ads business through semantic matching of customer query to products, automated bidding for sellers, and matching Ads to customer videos on MiniTV. Personalisation: the group will be developing state-of-the-art ML models for targeting and automating marketing campaigns to customers with the goal of growing the category business in India. Key Job Responsibilities You will be responsible for building a team of scientists who are experienced in taking an idea to reality - from prototype to a customer-facing product, their career development, as well as the road map definition and prioritization for the organization. You will be expected to be heavily entrepreneurial in style and experienced to develop a business plan as well as dive deep into the scientific and technical details of the technology your team is building. This team also publishes our research in the best venues internationally. As part of this team, you will take on challenging, novel problems every day and collaborate with cross-functional teams. You'll need to be comfortable with a degree of ambiguity that's higher than most projects and love the idea of solving problems that have never been solved before. You will provide ML thought leadership to technical and business leaders and have a demonstrated ability to think strategically about business, product, and technical challenges. BASIC QUALIFICATIONS 3+ years of scientists or machine learning engineers management experience Knowledge of ML, NLP, Information Retrieval, and Analytics PREFERRED QUALIFICATIONS Experience building machine learning models or developing algorithms for business application Experience building complex software systems, especially involving deep learning, machine learning, and computer vision, that have been successfully delivered to customers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Position: Senior/Lead Data Scientist - Generative AI Type: Contract (6 months) Full-Time (40 hours/week) Location: Remote/Hybrid About the Role: We are seeking a Senior or Lead Data Scientist with deep expertise in Generative AI, NLP, Deep Learning, and Machine Learning to join an innovation-focused AI Center of Excellence. In this role, you'll help design, develop, and implement cutting-edge AI solutions that drive transformation across the organization. Key Responsibilities: Lead the development and deployment of AI/ML models with a focus on LLMs, NLP, and deep learning. Collaborate with cross-functional teams to integrate AI capabilities into products and workflows. Conduct research, model fine-tuning, and validation using frameworks like PyTorch or TensorFlow. Support AI governance and ensure responsible, scalable implementation. Mentor junior team members and promote a culture of innovation and knowledge sharing. Ideal Candidate Will Have: Advanced degree (PhD/Master's) in Computer Science, Data Science, or a related field. 7+ years of experience in data science with a focus on Generative AI and NLP. Strong Python programming skills and proficiency with ML frameworks (PyTorch, TensorFlow). Experience with containerization tools (Docker, Kubernetes) and cloud platforms (AWS, Azure). Strong problem-solving ability and excellent communication skills. Preferred Qualifications: Experience in regulated industries (e.g., finance, credit). Understanding of AI governance and ethical AI principles. Passion for applying AI to solve real-world business problems. Ready to shape the future of AI in the enterprise? Apply now to join a forward-thinking team at the forefront of innovation. Randstad Technologies is acting as an Employment Business in relation to this vacancy.
May 12, 2025
Contractor
Position: Senior/Lead Data Scientist - Generative AI Type: Contract (6 months) Full-Time (40 hours/week) Location: Remote/Hybrid About the Role: We are seeking a Senior or Lead Data Scientist with deep expertise in Generative AI, NLP, Deep Learning, and Machine Learning to join an innovation-focused AI Center of Excellence. In this role, you'll help design, develop, and implement cutting-edge AI solutions that drive transformation across the organization. Key Responsibilities: Lead the development and deployment of AI/ML models with a focus on LLMs, NLP, and deep learning. Collaborate with cross-functional teams to integrate AI capabilities into products and workflows. Conduct research, model fine-tuning, and validation using frameworks like PyTorch or TensorFlow. Support AI governance and ensure responsible, scalable implementation. Mentor junior team members and promote a culture of innovation and knowledge sharing. Ideal Candidate Will Have: Advanced degree (PhD/Master's) in Computer Science, Data Science, or a related field. 7+ years of experience in data science with a focus on Generative AI and NLP. Strong Python programming skills and proficiency with ML frameworks (PyTorch, TensorFlow). Experience with containerization tools (Docker, Kubernetes) and cloud platforms (AWS, Azure). Strong problem-solving ability and excellent communication skills. Preferred Qualifications: Experience in regulated industries (e.g., finance, credit). Understanding of AI governance and ethical AI principles. Passion for applying AI to solve real-world business problems. Ready to shape the future of AI in the enterprise? Apply now to join a forward-thinking team at the forefront of innovation. Randstad Technologies is acting as an Employment Business in relation to this vacancy.
JobTitle: Principal Naval Architect(Weights) Location: Barrow-In-Furness, Brough, Filton, Frimley, Manchester,Portsmouth, Weymouth We offer a range of hybrid andflexible working arrangements - please speak to your recruiterabout the options for this particular role. Salary: Competitive What you'll be doing: Lead the collation strategy for mass properties data todeliver weight and centroid control on multi billion poundsubmarine programmes Responsible for aggregating weight and centroid reports,presenting the status to Chief Naval Architect and generatingmitigation plans Define and manage the mass budgets for submarineprogrammes and its breakdown to systemlevel Support submarine seatrials Create and maintain acomprehensive database of parts massproperties Promote a culture of weightcontrol and work with system engineering to integrate weight as afundamental designconstraint Conduct Research andDevelopment activities, promoting BAE Systems interests at UK andInternational Conferences Perform conceptual parametricestimations for mass distributions and moments of inertia whilstdriving the development of methods and tools for mass propertiesestimation Provide Subject Matter Expert(SME) reviews of weight control methodologies for non-submarineprogrammes within the BAE Systemsgroup Your skills andexperiences: Essential Degree qualified in an Engineering or Mathematicssubject or equivalentexperience Ability to work independentlyand provide technical leadership as part of theteam Experience of weight management Desirable Chartered Engineer or ability to achieve Charteredstatus within a 12-month timeframe Experience of weight control on largeprogrammes Experience working with large, complex Electrical orMechanicalsystems Experience using VBA or Pythonto automate data manipulationtasks Experience of using CADpackages andprogrammes Benefits: You'll receive benefitsincluding a competitive pension scheme, enhanced annual leaveallowance and a Company contributed Share Incentive Plan. You'llalso have access to additional benefits such as flexible working,an employee assistance programme, Cycle2work and employee discounts- you may also be eligible for an annualincentive. The Weight Engineeringteam: The Weight Engineering Team area multi-disciplinary Team of Engineers and Data Scientists whoestimate, collate and present mass properties data for a number ofmulti billion pound submarine programmes. The Weight Engineeringteam are a specialist team who play a critical role in the wholeboat design and assuring whole boat safety. We offer relocationsupport packages across all Submarines roles, subject to meetingeligibility criteria. Why BAE Systems? This is a place where you'll be able to make a realdifference. You'll be part of an inclusive culture that valuesdiversity, rewards integrity, and merit, and where you'll beempowered to fulfil your potential. We welcome candidates from allbackgrounds and particularly from sections of the community who arecurrently underrepresented within our industry, including women,ethnic minorities, people with disabilities and LGBTQ+ individuals.We also want to make sure that our recruitment processes are asinclusive as possible. If you have a disability or health condition(for example dyslexia, autism, an anxiety disorder etc.) that mayaffect your performance in certain assessment types, please speakto your recruiter about potential reasonableadjustments. Please be aware that many roles at BAE Systems aresubject to both security and export control restrictions. Theserestrictions mean that factors such as your nationality, anynationalities you may have previously held, and your place of birthcan restrict the roles you are eligible to perform within theorganisation. All applicants must as a minimum achieve BaselinePersonnel Security Standard. Many roles also require higher levelsof National Security Vetting where applicants must typically have 5to 10 years of continuous residency in the UK depending on thevetting level required for the role, to allow for meaningfulsecurity vettingchecks. ClosingDate: 12th May2025 We reserve the right to close this vacancy early if wereceive sufficient applications for the role. Therefore, if you areinterested, please submit your application as early as possible.
May 12, 2025
Full time
JobTitle: Principal Naval Architect(Weights) Location: Barrow-In-Furness, Brough, Filton, Frimley, Manchester,Portsmouth, Weymouth We offer a range of hybrid andflexible working arrangements - please speak to your recruiterabout the options for this particular role. Salary: Competitive What you'll be doing: Lead the collation strategy for mass properties data todeliver weight and centroid control on multi billion poundsubmarine programmes Responsible for aggregating weight and centroid reports,presenting the status to Chief Naval Architect and generatingmitigation plans Define and manage the mass budgets for submarineprogrammes and its breakdown to systemlevel Support submarine seatrials Create and maintain acomprehensive database of parts massproperties Promote a culture of weightcontrol and work with system engineering to integrate weight as afundamental designconstraint Conduct Research andDevelopment activities, promoting BAE Systems interests at UK andInternational Conferences Perform conceptual parametricestimations for mass distributions and moments of inertia whilstdriving the development of methods and tools for mass propertiesestimation Provide Subject Matter Expert(SME) reviews of weight control methodologies for non-submarineprogrammes within the BAE Systemsgroup Your skills andexperiences: Essential Degree qualified in an Engineering or Mathematicssubject or equivalentexperience Ability to work independentlyand provide technical leadership as part of theteam Experience of weight management Desirable Chartered Engineer or ability to achieve Charteredstatus within a 12-month timeframe Experience of weight control on largeprogrammes Experience working with large, complex Electrical orMechanicalsystems Experience using VBA or Pythonto automate data manipulationtasks Experience of using CADpackages andprogrammes Benefits: You'll receive benefitsincluding a competitive pension scheme, enhanced annual leaveallowance and a Company contributed Share Incentive Plan. You'llalso have access to additional benefits such as flexible working,an employee assistance programme, Cycle2work and employee discounts- you may also be eligible for an annualincentive. The Weight Engineeringteam: The Weight Engineering Team area multi-disciplinary Team of Engineers and Data Scientists whoestimate, collate and present mass properties data for a number ofmulti billion pound submarine programmes. The Weight Engineeringteam are a specialist team who play a critical role in the wholeboat design and assuring whole boat safety. We offer relocationsupport packages across all Submarines roles, subject to meetingeligibility criteria. Why BAE Systems? This is a place where you'll be able to make a realdifference. You'll be part of an inclusive culture that valuesdiversity, rewards integrity, and merit, and where you'll beempowered to fulfil your potential. We welcome candidates from allbackgrounds and particularly from sections of the community who arecurrently underrepresented within our industry, including women,ethnic minorities, people with disabilities and LGBTQ+ individuals.We also want to make sure that our recruitment processes are asinclusive as possible. If you have a disability or health condition(for example dyslexia, autism, an anxiety disorder etc.) that mayaffect your performance in certain assessment types, please speakto your recruiter about potential reasonableadjustments. Please be aware that many roles at BAE Systems aresubject to both security and export control restrictions. Theserestrictions mean that factors such as your nationality, anynationalities you may have previously held, and your place of birthcan restrict the roles you are eligible to perform within theorganisation. All applicants must as a minimum achieve BaselinePersonnel Security Standard. Many roles also require higher levelsof National Security Vetting where applicants must typically have 5to 10 years of continuous residency in the UK depending on thevetting level required for the role, to allow for meaningfulsecurity vettingchecks. ClosingDate: 12th May2025 We reserve the right to close this vacancy early if wereceive sufficient applications for the role. Therefore, if you areinterested, please submit your application as early as possible.
Welcome to the Worldwide Returns & ReCommerce team (WWR&R) at WWR&R is an agile, innovative organization dedicated to 'making zero happen' to benefit our customers, our company, and the environment. Our goal is to achieve the three zeroes: zero cost of returns, zero waste, and zero defects. We do this by developing products and driving truly innovative operational excellence to help customers keep what they buy, recover returned and damaged product value, keep thousands of tons of waste from landfills, and create the best customer returns experience in the world. We have an eye to the future - we create long-term value at Amazon by focusing not just on the bottom line, but on the planet. We are building the most sustainable re-use channel we can by driving multiple aspects of the Circular Economy for Amazon - Returns & ReCommerce. Amazon WWR&R is comprised of business, product, operational, program, software engineering and data teams that manage the life of a returned or damaged product from a customer to the warehouse and on to its next best use. Our work is broad and deep: we train machine learning models to automate routing and find signals to optimize re-use; we invent new channels to give products a second life; we develop highly respected product support to help customers love what they buy; we pilot smarter product evaluations; we work from the customer backward to find ways to make the return experience remarkably delightful and easy; and we do it all while scrutinizing our business with laser focus. You will help create everything from customer-facing and vendor-facing websites to the internal software and tools behind the reverse-logistics process. You can develop scalable, high-availability solutions to solve complex and broad business problems. We are a group that has fun at work while driving incredible customer, business, and environmental impact. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable work-life balance. As an established, experienced team, we offer the scope and support needed for substantial career growth. Amazon is earth's most customer-centric company and through WWR&R, the earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce team! BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics - 4+ years of building machine learning models or developing algorithms for business application experience - 2+ years of programming in Java, C++, Python or related language experience - Excellent oral and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization PREFERRED QUALIFICATIONS - PhD in math/statistics/engineering or other equivalent quantitative discipline - Experience building machine learning models or developing algorithms for business application - Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet - Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals - Proven achievements of developing and managing a long-term research vision and portfolio of research initiatives, with algorithms and models that have been successfully integrated in production systems. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit here for more information. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
May 12, 2025
Full time
Welcome to the Worldwide Returns & ReCommerce team (WWR&R) at WWR&R is an agile, innovative organization dedicated to 'making zero happen' to benefit our customers, our company, and the environment. Our goal is to achieve the three zeroes: zero cost of returns, zero waste, and zero defects. We do this by developing products and driving truly innovative operational excellence to help customers keep what they buy, recover returned and damaged product value, keep thousands of tons of waste from landfills, and create the best customer returns experience in the world. We have an eye to the future - we create long-term value at Amazon by focusing not just on the bottom line, but on the planet. We are building the most sustainable re-use channel we can by driving multiple aspects of the Circular Economy for Amazon - Returns & ReCommerce. Amazon WWR&R is comprised of business, product, operational, program, software engineering and data teams that manage the life of a returned or damaged product from a customer to the warehouse and on to its next best use. Our work is broad and deep: we train machine learning models to automate routing and find signals to optimize re-use; we invent new channels to give products a second life; we develop highly respected product support to help customers love what they buy; we pilot smarter product evaluations; we work from the customer backward to find ways to make the return experience remarkably delightful and easy; and we do it all while scrutinizing our business with laser focus. You will help create everything from customer-facing and vendor-facing websites to the internal software and tools behind the reverse-logistics process. You can develop scalable, high-availability solutions to solve complex and broad business problems. We are a group that has fun at work while driving incredible customer, business, and environmental impact. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable work-life balance. As an established, experienced team, we offer the scope and support needed for substantial career growth. Amazon is earth's most customer-centric company and through WWR&R, the earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce team! BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics - 4+ years of building machine learning models or developing algorithms for business application experience - 2+ years of programming in Java, C++, Python or related language experience - Excellent oral and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization PREFERRED QUALIFICATIONS - PhD in math/statistics/engineering or other equivalent quantitative discipline - Experience building machine learning models or developing algorithms for business application - Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet - Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals - Proven achievements of developing and managing a long-term research vision and portfolio of research initiatives, with algorithms and models that have been successfully integrated in production systems. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit here for more information. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
The AI Security Institute is the largest team in a government dedicated to understanding AI capabilities and risks in the world. Our mission is to equip governments with an empirical understanding of the safety of advanced AI systems. We conduct research to understand the capabilities and impacts of advanced AI and develop and test risk mitigations. We focus on risks with security implications, including the potential of AI to assist with the development of chemical and biological weapons, how it can be used to carry out cyber-attacks, enable crimes such as fraud, and the possibility of loss of control. The risks from AI are not sci-fi, they are urgent. By combining the agility of a tech start-up with the expertise and mission-driven focus of government, we're building a unique and innovative organisation to prevent AI's harms from impeding its potential. Control Team Our team's focus is on AI Control to ensure that even if frontier systems are misaligned, they can be safely used for high-stakes tasks. To achieve this, we are attempting to advance the state of conceptual research into control protocols and corresponding safety cases. Additionally, we will conduct realistic empirical research on mock frontier AI development infrastructure to identify flaws in theoretical approaches and refine them accordingly. Role Summary You will be part of a team of 11 researchers, including people with experience in the control agenda and/or experience at frontier labs. Your work will involve a mix of both conceptual and empirical research, with the core goal of making substantial improvements in the robustness of control protocols across major labs, particularly as progress continues towards AGI. Research partnerships with frontier AI labs will also be a significant part of your role. This will include collaborating on promising research directions (e.g., more realistic empirical experiments in settings that closely mimic lab infrastructure), as well as supporting the development of control-based safety cases. You will report to Alan Cooney - our team lead. You will also receive research mentorship from our research directors, including Geoffrey Irving and Yarin Gal. From a compute perspective, you will have excellent access to resources from both our research platform team and the UK's Isambard supercomputer (5,000 H100s). Person Specification You may be a good fit if you have some of the following skills, experience and attitudes. Please note that you don't need to meet all of these criteria, and if you're unsure, we encourage you to apply. Experience working in a research team or group that has delivered exceptional research in deep learning, or a related field. Comprehensive understanding of frontier AI development, including key processes involved in research, data collection & generation, pre-training, post-training and safety assessment. Proven track record of academic excellence, demonstrated by novel research contributions and spotlight papers at top-tier conferences (e.g., NeurIPS, ICML, ICLR). Exceptional written and verbal communication skills, with the ability to convey complex ideas clearly and effectively to diverse audiences. Extensive experience in collaborating with multi-disciplinary teams, including researchers and engineers, and leading high-impact projects. A strong desire to improve the global state of AI safety. While existing experience working on control is desired, it is not a requirement for this role. Salary & Benefits We are primarily hiring individuals at all ranges of the following scale (L5-L7). The full range of salaries are available below. Additional Information
May 12, 2025
Full time
The AI Security Institute is the largest team in a government dedicated to understanding AI capabilities and risks in the world. Our mission is to equip governments with an empirical understanding of the safety of advanced AI systems. We conduct research to understand the capabilities and impacts of advanced AI and develop and test risk mitigations. We focus on risks with security implications, including the potential of AI to assist with the development of chemical and biological weapons, how it can be used to carry out cyber-attacks, enable crimes such as fraud, and the possibility of loss of control. The risks from AI are not sci-fi, they are urgent. By combining the agility of a tech start-up with the expertise and mission-driven focus of government, we're building a unique and innovative organisation to prevent AI's harms from impeding its potential. Control Team Our team's focus is on AI Control to ensure that even if frontier systems are misaligned, they can be safely used for high-stakes tasks. To achieve this, we are attempting to advance the state of conceptual research into control protocols and corresponding safety cases. Additionally, we will conduct realistic empirical research on mock frontier AI development infrastructure to identify flaws in theoretical approaches and refine them accordingly. Role Summary You will be part of a team of 11 researchers, including people with experience in the control agenda and/or experience at frontier labs. Your work will involve a mix of both conceptual and empirical research, with the core goal of making substantial improvements in the robustness of control protocols across major labs, particularly as progress continues towards AGI. Research partnerships with frontier AI labs will also be a significant part of your role. This will include collaborating on promising research directions (e.g., more realistic empirical experiments in settings that closely mimic lab infrastructure), as well as supporting the development of control-based safety cases. You will report to Alan Cooney - our team lead. You will also receive research mentorship from our research directors, including Geoffrey Irving and Yarin Gal. From a compute perspective, you will have excellent access to resources from both our research platform team and the UK's Isambard supercomputer (5,000 H100s). Person Specification You may be a good fit if you have some of the following skills, experience and attitudes. Please note that you don't need to meet all of these criteria, and if you're unsure, we encourage you to apply. Experience working in a research team or group that has delivered exceptional research in deep learning, or a related field. Comprehensive understanding of frontier AI development, including key processes involved in research, data collection & generation, pre-training, post-training and safety assessment. Proven track record of academic excellence, demonstrated by novel research contributions and spotlight papers at top-tier conferences (e.g., NeurIPS, ICML, ICLR). Exceptional written and verbal communication skills, with the ability to convey complex ideas clearly and effectively to diverse audiences. Extensive experience in collaborating with multi-disciplinary teams, including researchers and engineers, and leading high-impact projects. A strong desire to improve the global state of AI safety. While existing experience working on control is desired, it is not a requirement for this role. Salary & Benefits We are primarily hiring individuals at all ranges of the following scale (L5-L7). The full range of salaries are available below. Additional Information
14504 Permanent £55,000 - £85,000 Hybrid Cambridgeshire, United Kingdom Updated on: 14-04-2025 ROLE OVERVIEW: We are currently looking for a Machine Learning Scientist to join a leading pharmaceutical company based in the Cambridge area. As the Machine Learning Scientist, you will be responsible for driving the development of innovative machine learning methods for structure-based drug discovery. KEY DUTIES AND RESPONSIBILITIES: Design and implement ML models for structure-based design, including protein-ligand interaction modelling and co-folding applications. Develop and extend AI approaches that integrate structural and chemical data to improve virtual screening and molecular design workflows. Leverage proprietary structural datasets to train, benchmark, and validate new algorithms. Collaborate closely with cross-functional teams to ensure effective translation of research into production-ready solutions. ROLE REQUIREMENTS: Relevant degree in a technical discipline (e.g., computer science, chemistry, physics, engineering). Proven industry experience in machine learning, including deep learning and/or generative models. A working knowledge and practical experience with modern ML frameworks (e.g., PyTorch, TensorFlow, or JAX). Key Words: Machine Learning / Drug Discovery / Computational Chemistry / Structural Biology / AI Techniques / Protein-Ligand Interaction / Molecular Modelling / Virtual Screening / Deep Learning / Generative Models Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer. We welcome applications from anyone who meets the role requirements. HRS exclusively supports the Life Science sectors, combining recruitment expertise with scientific knowledge to help you advance your career.
May 12, 2025
Full time
14504 Permanent £55,000 - £85,000 Hybrid Cambridgeshire, United Kingdom Updated on: 14-04-2025 ROLE OVERVIEW: We are currently looking for a Machine Learning Scientist to join a leading pharmaceutical company based in the Cambridge area. As the Machine Learning Scientist, you will be responsible for driving the development of innovative machine learning methods for structure-based drug discovery. KEY DUTIES AND RESPONSIBILITIES: Design and implement ML models for structure-based design, including protein-ligand interaction modelling and co-folding applications. Develop and extend AI approaches that integrate structural and chemical data to improve virtual screening and molecular design workflows. Leverage proprietary structural datasets to train, benchmark, and validate new algorithms. Collaborate closely with cross-functional teams to ensure effective translation of research into production-ready solutions. ROLE REQUIREMENTS: Relevant degree in a technical discipline (e.g., computer science, chemistry, physics, engineering). Proven industry experience in machine learning, including deep learning and/or generative models. A working knowledge and practical experience with modern ML frameworks (e.g., PyTorch, TensorFlow, or JAX). Key Words: Machine Learning / Drug Discovery / Computational Chemistry / Structural Biology / AI Techniques / Protein-Ligand Interaction / Molecular Modelling / Virtual Screening / Deep Learning / Generative Models Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer. We welcome applications from anyone who meets the role requirements. HRS exclusively supports the Life Science sectors, combining recruitment expertise with scientific knowledge to help you advance your career.
Location(s): UK, Europe & Africa : UK : Great Baddow BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. BAE Systems Digital Intelligence Defence Innovation and Technology is seeking to recruit a team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to work with these colleagues in multi-disciplinary teams and to work on a wide range of data science topics for customers across the defence, security and commercial sectors as well as on internal BAE Systems AI programmes. You will also have the opportunity to maintain strong links with academic partners and SMEs as well as to grow technical research areas of interest to you. We are looking for candidates who are adaptable, enthusiastic and highly motivated. You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should have existing skills in Machine Learning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. Candidates will also have the opportunity to mix technical challenges with customer-facing and project support tasks. In addition to a solid academic background and excellent written and verbal communication skills, we are interested in candidates with experience in NLP, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. Typical Responsibilities: Propose and lead novel research in given topic areas, often in partnership with leading UK Universities. Lead technical delivery of project teams. Prepare and deliver technical reports, technical proposals and supporting material. Develop prototypes and proof of concept demonstrators. Take ownership of tasks in projects and deliver to challenging standards. Effectively present results to both technical and non-technical audiences. Communicate effectively with project stakeholders (external customers, internal BU leads, different engineering teams). Undertake mentoring and management of junior staff working in the Knowledge and Semantics Team. Knowledge, Skills and Experience: PhD qualified with at least 4 years' experience post PhD, ideally working in the Defence or National Security sectors. You will have experience of leading R&D teams with a minimum of 5 developers. You will have a strong record of securing funding for and delivering innovative R&D into Defence and NS customers. Of particular interest are candidates with the following experience (evidenced by a track record of publications, industry experience, open-source available code or equivalent academic work): Predictive Graph Machine Learning, Causal Machine Learning or Neuro-Symbolic AI. Natural Language Processing, including Information extraction, text-mining and entity linking. Experience with modern (e.g. transformer-based) NLP models is desirable but not essential. Application of LLMs to Defence problems. The taxonomy of Graph Machine Learning tasks and experience in using graph ML in applied or foundational settings. Graph-structured data, designing and utilising relational and graph databases, and knowledge of graph algorithms. Familiarity with one or more query languages (e.g. SQL and Cypher) is desirable but not essential. Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning is desirable but not essential. Essential: Experience in software development in Python. Essential: Experience with at least one ML framework: TensorFlow, Pytorch. Ability to work in a secure environment is essential. Desirable: Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j). Security Clearance Only those with the permanent and unrestricted right to live and work in the UK will be considered for a position within BAE Systems Digital Intelligence. Due to the nature of our work successful candidates for this role will be required to go through Government SC clearance prior to starting with us. Security Vetting and Clearance Life at BAE Systems Digital Intelligence We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate and create together, even when we're working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance well-being. Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds - the best and brightest minds - can work together to achieve excellence and realise individual and organisational potential. Division overview: Capabilities At BAE Systems Digital Intelligence, we pride ourselves in being a leader in the cyber defence industry, and Capabilities is the engine that keeps the business moving forward. It is the largest area of Digital Intelligence, containing our Engineering, Consulting and Project Management teams that design and implement the defence solutions and digital transformation projects that make us a globally recognised brand in both the public and private sector. As a member of the Capabilities team, you will be creating and managing the solutions that earn us our place in an ever changing digital world. We all have a role to play in defending our clients, and this is yours.
May 12, 2025
Full time
Location(s): UK, Europe & Africa : UK : Great Baddow BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. BAE Systems Digital Intelligence Defence Innovation and Technology is seeking to recruit a team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to work with these colleagues in multi-disciplinary teams and to work on a wide range of data science topics for customers across the defence, security and commercial sectors as well as on internal BAE Systems AI programmes. You will also have the opportunity to maintain strong links with academic partners and SMEs as well as to grow technical research areas of interest to you. We are looking for candidates who are adaptable, enthusiastic and highly motivated. You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should have existing skills in Machine Learning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. Candidates will also have the opportunity to mix technical challenges with customer-facing and project support tasks. In addition to a solid academic background and excellent written and verbal communication skills, we are interested in candidates with experience in NLP, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. Typical Responsibilities: Propose and lead novel research in given topic areas, often in partnership with leading UK Universities. Lead technical delivery of project teams. Prepare and deliver technical reports, technical proposals and supporting material. Develop prototypes and proof of concept demonstrators. Take ownership of tasks in projects and deliver to challenging standards. Effectively present results to both technical and non-technical audiences. Communicate effectively with project stakeholders (external customers, internal BU leads, different engineering teams). Undertake mentoring and management of junior staff working in the Knowledge and Semantics Team. Knowledge, Skills and Experience: PhD qualified with at least 4 years' experience post PhD, ideally working in the Defence or National Security sectors. You will have experience of leading R&D teams with a minimum of 5 developers. You will have a strong record of securing funding for and delivering innovative R&D into Defence and NS customers. Of particular interest are candidates with the following experience (evidenced by a track record of publications, industry experience, open-source available code or equivalent academic work): Predictive Graph Machine Learning, Causal Machine Learning or Neuro-Symbolic AI. Natural Language Processing, including Information extraction, text-mining and entity linking. Experience with modern (e.g. transformer-based) NLP models is desirable but not essential. Application of LLMs to Defence problems. The taxonomy of Graph Machine Learning tasks and experience in using graph ML in applied or foundational settings. Graph-structured data, designing and utilising relational and graph databases, and knowledge of graph algorithms. Familiarity with one or more query languages (e.g. SQL and Cypher) is desirable but not essential. Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning is desirable but not essential. Essential: Experience in software development in Python. Essential: Experience with at least one ML framework: TensorFlow, Pytorch. Ability to work in a secure environment is essential. Desirable: Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j). Security Clearance Only those with the permanent and unrestricted right to live and work in the UK will be considered for a position within BAE Systems Digital Intelligence. Due to the nature of our work successful candidates for this role will be required to go through Government SC clearance prior to starting with us. Security Vetting and Clearance Life at BAE Systems Digital Intelligence We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate and create together, even when we're working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance well-being. Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds - the best and brightest minds - can work together to achieve excellence and realise individual and organisational potential. Division overview: Capabilities At BAE Systems Digital Intelligence, we pride ourselves in being a leader in the cyber defence industry, and Capabilities is the engine that keeps the business moving forward. It is the largest area of Digital Intelligence, containing our Engineering, Consulting and Project Management teams that design and implement the defence solutions and digital transformation projects that make us a globally recognised brand in both the public and private sector. As a member of the Capabilities team, you will be creating and managing the solutions that earn us our place in an ever changing digital world. We all have a role to play in defending our clients, and this is yours.
Welcome to the Worldwide Returns & ReCommerce team (WWR&R) at WWR&R is an agile, innovative organization dedicated to 'making zero happen' to benefit our customers, our company, and the environment. Our goal is to achieve the three zeroes: zero cost of returns, zero waste, and zero defects. We do this by developing products and driving truly innovative operational excellence to help customers keep what they buy, recover returned and damaged product value, keep thousands of tons of waste from landfills, and create the best customer returns experience in the world. We have an eye to the future - we create long-term value at Amazon by focusing not just on the bottom line, but on the planet. We are building the most sustainable re-use channel we can by driving multiple aspects of the Circular Economy for Amazon - Returns & ReCommerce. Amazon WWR&R is comprised of business, product, operational, program, software engineering and data teams that manage the life of a returned or damaged product from a customer to the warehouse and on to its next best use. Our work is broad and deep: we train machine learning models to automate routing and find signals to optimize re-use; we invent new channels to give products a second life; we develop highly respected product support to help customers love what they buy; we pilot smarter product evaluations; we work from the customer backward to find ways to make the return experience remarkably delightful and easy; and we do it all while scrutinizing our business with laser focus. You will help create everything from customer-facing and vendor-facing websites to the internal software and tools behind the reverse-logistics process. You can develop scalable, high-availability solutions to solve complex and broad business problems. We are a group that has fun at work while driving incredible customer, business, and environmental impact. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable work-life balance. As an established, experienced team, we offer the scope and support needed for substantial career growth. Amazon is earth's most customer-centric company and through WWR&R, the earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce team! BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics - 4+ years of building machine learning models or developing algorithms for business application experience - 2+ years of programming in Java, C++, Python or related language experience - Excellent oral and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization PREFERRED QUALIFICATIONS - PhD in math/statistics/engineering or other equivalent quantitative discipline - Experience building machine learning models or developing algorithms for business application - Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals - Proven achievements of developing and managing a long-term research vision and portfolio of research initiatives, with algorithms and models that have been successfully integrated in production systems. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
May 12, 2025
Full time
Welcome to the Worldwide Returns & ReCommerce team (WWR&R) at WWR&R is an agile, innovative organization dedicated to 'making zero happen' to benefit our customers, our company, and the environment. Our goal is to achieve the three zeroes: zero cost of returns, zero waste, and zero defects. We do this by developing products and driving truly innovative operational excellence to help customers keep what they buy, recover returned and damaged product value, keep thousands of tons of waste from landfills, and create the best customer returns experience in the world. We have an eye to the future - we create long-term value at Amazon by focusing not just on the bottom line, but on the planet. We are building the most sustainable re-use channel we can by driving multiple aspects of the Circular Economy for Amazon - Returns & ReCommerce. Amazon WWR&R is comprised of business, product, operational, program, software engineering and data teams that manage the life of a returned or damaged product from a customer to the warehouse and on to its next best use. Our work is broad and deep: we train machine learning models to automate routing and find signals to optimize re-use; we invent new channels to give products a second life; we develop highly respected product support to help customers love what they buy; we pilot smarter product evaluations; we work from the customer backward to find ways to make the return experience remarkably delightful and easy; and we do it all while scrutinizing our business with laser focus. You will help create everything from customer-facing and vendor-facing websites to the internal software and tools behind the reverse-logistics process. You can develop scalable, high-availability solutions to solve complex and broad business problems. We are a group that has fun at work while driving incredible customer, business, and environmental impact. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable work-life balance. As an established, experienced team, we offer the scope and support needed for substantial career growth. Amazon is earth's most customer-centric company and through WWR&R, the earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce team! BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics - 4+ years of building machine learning models or developing algorithms for business application experience - 2+ years of programming in Java, C++, Python or related language experience - Excellent oral and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization PREFERRED QUALIFICATIONS - PhD in math/statistics/engineering or other equivalent quantitative discipline - Experience building machine learning models or developing algorithms for business application - Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals - Proven achievements of developing and managing a long-term research vision and portfolio of research initiatives, with algorithms and models that have been successfully integrated in production systems. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
You will need to login before you can apply for a job. Sector: Science and Pharmaceutical Role: Senior Executive Contract Type: Permanent Hours: Full Time DESCRIPTION The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As a Senior Applied Scientist with the AGI team, you will work with talented peers to lead and own hands-on development of novel algorithms and modeling techniques, to advance the state of the art with LLMs. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding. About the team The AGI team has a mission to push the envelope in GenAI with LLMs and multimodal systems, in order to provide the best-possible experience for our customers. BASIC QUALIFICATIONS Master's degree Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building machine learning models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information.
May 12, 2025
Full time
You will need to login before you can apply for a job. Sector: Science and Pharmaceutical Role: Senior Executive Contract Type: Permanent Hours: Full Time DESCRIPTION The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As a Senior Applied Scientist with the AGI team, you will work with talented peers to lead and own hands-on development of novel algorithms and modeling techniques, to advance the state of the art with LLMs. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding. About the team The AGI team has a mission to push the envelope in GenAI with LLMs and multimodal systems, in order to provide the best-possible experience for our customers. BASIC QUALIFICATIONS Master's degree Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building machine learning models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information.
Senior Applied Scientist, Insights, Prime Video DESCRIPTION Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows including Amazon Originals and exclusive licensed content to exciting live sports events. Prime Video is a fast-paced, growth business - available in over 200 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on. The Insights team is looking for an Applied Scientist for our London office experienced in generative AI and large models. This is a hands-on role with Prime Video wide impact working with development teams across the UK, India, and the US. This greenfield project will deliver features that reduce the operational load for internal Prime Video builders and for this, you will need to develop personalized recommendations for their services. You will lead the design of machine learning models that scale to very large quantities of data across multiple dimensions. You will embody scientific rigor, designing and executing experiments to demonstrate the technical effectiveness and business value of your methods. You will work alongside other scientists and engineering teams to deliver your research into production systems. Successful candidates will have strong technical ability, excellent teamwork and communication skills, and a strong motivation to deliver customer value from their research. Our position offers exceptional opportunities for every candidate to grow their technical and non-technical skills and make a global impact immediately. Key job responsibilities Develop machine learning algorithms for high-scale recommendations problems. Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative analysis and business judgement. Collaborate with software engineers to integrate successful experimental results into Prime Video wide processes. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports. BASIC QUALIFICATIONS Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building machine learning models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. PhD Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
May 12, 2025
Full time
Senior Applied Scientist, Insights, Prime Video DESCRIPTION Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows including Amazon Originals and exclusive licensed content to exciting live sports events. Prime Video is a fast-paced, growth business - available in over 200 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on. The Insights team is looking for an Applied Scientist for our London office experienced in generative AI and large models. This is a hands-on role with Prime Video wide impact working with development teams across the UK, India, and the US. This greenfield project will deliver features that reduce the operational load for internal Prime Video builders and for this, you will need to develop personalized recommendations for their services. You will lead the design of machine learning models that scale to very large quantities of data across multiple dimensions. You will embody scientific rigor, designing and executing experiments to demonstrate the technical effectiveness and business value of your methods. You will work alongside other scientists and engineering teams to deliver your research into production systems. Successful candidates will have strong technical ability, excellent teamwork and communication skills, and a strong motivation to deliver customer value from their research. Our position offers exceptional opportunities for every candidate to grow their technical and non-technical skills and make a global impact immediately. Key job responsibilities Develop machine learning algorithms for high-scale recommendations problems. Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative analysis and business judgement. Collaborate with software engineers to integrate successful experimental results into Prime Video wide processes. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports. BASIC QUALIFICATIONS Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building machine learning models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. PhD Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The Amazon India ML team is developing state-of-the-art, large-scale Machine Learning methods and applications involving terabytes of data. The group focuses on Deep Learning problems in a) Sponsored Products - the group will be responsible for growing Ads business through semantic matching of customer query to products, automated bidding for sellers and matching Ads to customer videos on MiniTV b) Personalisation - the group will be developing state-of-the-art ML models for targeting and automating marketing campaigns to customers with the goal of growing the category business in India. Key job responsibilities You will be responsible for building a team of scientists who are experienced in taking an idea to reality - from prototype to a customer-facing product, their career development, as well as the road map definition and prioritization for the organization. You will be expected to be heavily entrepreneurial in style and be experienced to develop a business plan as well as dive deep in the scientific and technical details of the technology your team is building. This team also publish our research in the best venues internationally. As part of this team, you will take on challenging, novel problems every day and collaborate with cross-functional teams. You'll need to be comfortable with a degree of ambiguity that's higher than most projects and love the idea of solving problems that have never been solved before. You will provide ML thought leadership to technical and business leaders, and have a demonstrated ability to think strategically about business, product, and technical challenges. BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics PREFERRED QUALIFICATIONS - Experience building machine learning models or developing algorithms for business application - Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
May 12, 2025
Full time
The Amazon India ML team is developing state-of-the-art, large-scale Machine Learning methods and applications involving terabytes of data. The group focuses on Deep Learning problems in a) Sponsored Products - the group will be responsible for growing Ads business through semantic matching of customer query to products, automated bidding for sellers and matching Ads to customer videos on MiniTV b) Personalisation - the group will be developing state-of-the-art ML models for targeting and automating marketing campaigns to customers with the goal of growing the category business in India. Key job responsibilities You will be responsible for building a team of scientists who are experienced in taking an idea to reality - from prototype to a customer-facing product, their career development, as well as the road map definition and prioritization for the organization. You will be expected to be heavily entrepreneurial in style and be experienced to develop a business plan as well as dive deep in the scientific and technical details of the technology your team is building. This team also publish our research in the best venues internationally. As part of this team, you will take on challenging, novel problems every day and collaborate with cross-functional teams. You'll need to be comfortable with a degree of ambiguity that's higher than most projects and love the idea of solving problems that have never been solved before. You will provide ML thought leadership to technical and business leaders, and have a demonstrated ability to think strategically about business, product, and technical challenges. BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics PREFERRED QUALIFICATIONS - Experience building machine learning models or developing algorithms for business application - Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Prolific is not just another player in the AI space - we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditised, it's the quality and diversity of human-generated data that truly differentiates products and models. The Role Lead the technical team that's revolutionising how AI learns from humans. At Prolific, you'll build and direct the data science and AI/ML engineering function that powers the world's leading platform for human feedback collection - enabling AI developers to efficiently incorporate human intelligence into their models. Your team will solve challenges across the full ML/AI spectrum: creating intelligent systems that optimize feedback quality, design behavioural modeling at scale, and developing breakthrough methods for effective human-AI interaction. This isn't just another technical leadership role; you'll directly shape how the industry incorporates human intelligence into the next generation of AI systems, with immediate access to a unique human data asset that positions you to make outsized impact. What You'll Be Doing Strategic Leadership Develop and execute Prolific's data science and applied AI strategy Build and scale high-performing teams of data scientists and AI/ML engineers, with a strong culture of excellence, innovation, and impact Partner directly with executive leadership to identify breakthrough opportunities where our human data advance AI capabilities Create a technical vision that positions Prolific as the leader in human-centered AI development Establish a technical culture that attracts and retains exceptional talent in a competitive market Technical Direction Lead the development of sophisticated ML/AI systems that enhance how human feedback is collected, validated, and utilized Spearhead the creation of robust measurement frameworks and experimental designs to quantify our platform's capabilities and support emerging AI evaluation needs Establish technical standards and best practices across data science and AI engineering Balance technical innovation with operational excellence and business impact Cross-Functional Impact Translate technical capabilities into competitive advantages for the platform Collaborate with platform engineering to create seamless integration paths for your team's innovations Partner with research to rapidly operationalize promising approaches Work with product teams to enhance platform capabilities through intelligent systems Influence how the AI industry approaches human feedback through thought leadership What You'll Bring 6+ years of experience in data science, AI/ML engineer, or related fields - preferably in leadership roles Proven track record of building and scaling high-performing teams Experience applying both traditional machine learning and modern AI techniques to solve real business problems Strategic vision for how human data can fundamentally improve AI systems Experience working with behavioral data, human feedback systems, or AI evaluation methodologies preferred - with interest in exploring innovative applications Ability to work quickly in a fast paced challenging environment and deliver high quality results to stakeholders Experience collaborating effectively with platform engineering and research teams Demonstrated ability to balance innovation with practical delivery of robust, scalable systems Exceptional communication skills with ability to influence at all levels of the organization Strategic mindset with hands-on technical capabilities and a practical approach to problem-solving Why Prolific is a great place to work We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation - one that reflects the breath and the best of humanity. Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture.
May 12, 2025
Full time
Prolific is not just another player in the AI space - we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditised, it's the quality and diversity of human-generated data that truly differentiates products and models. The Role Lead the technical team that's revolutionising how AI learns from humans. At Prolific, you'll build and direct the data science and AI/ML engineering function that powers the world's leading platform for human feedback collection - enabling AI developers to efficiently incorporate human intelligence into their models. Your team will solve challenges across the full ML/AI spectrum: creating intelligent systems that optimize feedback quality, design behavioural modeling at scale, and developing breakthrough methods for effective human-AI interaction. This isn't just another technical leadership role; you'll directly shape how the industry incorporates human intelligence into the next generation of AI systems, with immediate access to a unique human data asset that positions you to make outsized impact. What You'll Be Doing Strategic Leadership Develop and execute Prolific's data science and applied AI strategy Build and scale high-performing teams of data scientists and AI/ML engineers, with a strong culture of excellence, innovation, and impact Partner directly with executive leadership to identify breakthrough opportunities where our human data advance AI capabilities Create a technical vision that positions Prolific as the leader in human-centered AI development Establish a technical culture that attracts and retains exceptional talent in a competitive market Technical Direction Lead the development of sophisticated ML/AI systems that enhance how human feedback is collected, validated, and utilized Spearhead the creation of robust measurement frameworks and experimental designs to quantify our platform's capabilities and support emerging AI evaluation needs Establish technical standards and best practices across data science and AI engineering Balance technical innovation with operational excellence and business impact Cross-Functional Impact Translate technical capabilities into competitive advantages for the platform Collaborate with platform engineering to create seamless integration paths for your team's innovations Partner with research to rapidly operationalize promising approaches Work with product teams to enhance platform capabilities through intelligent systems Influence how the AI industry approaches human feedback through thought leadership What You'll Bring 6+ years of experience in data science, AI/ML engineer, or related fields - preferably in leadership roles Proven track record of building and scaling high-performing teams Experience applying both traditional machine learning and modern AI techniques to solve real business problems Strategic vision for how human data can fundamentally improve AI systems Experience working with behavioral data, human feedback systems, or AI evaluation methodologies preferred - with interest in exploring innovative applications Ability to work quickly in a fast paced challenging environment and deliver high quality results to stakeholders Experience collaborating effectively with platform engineering and research teams Demonstrated ability to balance innovation with practical delivery of robust, scalable systems Exceptional communication skills with ability to influence at all levels of the organization Strategic mindset with hands-on technical capabilities and a practical approach to problem-solving Why Prolific is a great place to work We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation - one that reflects the breath and the best of humanity. Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture.
Prolific is not just another player in the AI space - we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditised, it's the quality and diversity of human-generated data that truly differentiates products and models. The Role Lead the technical team that's revolutionising how AI learns from humans. At Prolific, you'll build and direct the data science and AI/ML engineering function that powers the world's leading platform for human feedback collection - enabling AI developers to efficiently incorporate human intelligence into their models. Your team will solve challenges across the full ML/AI spectrum: creating intelligent systems that optimize feedback quality, design behavioural modeling at scale, and developing breakthrough methods for effective human-AI interaction. This isn't just another technical leadership role; you'll directly shape how the industry incorporates human intelligence into the next generation of AI systems, with immediate access to a unique human data asset that positions you to make outsized impact. What You'll Be Doing Strategic Leadership Develop and execute Prolific's data science and applied AI strategy Build and scale high-performing teams of data scientists and AI/ML engineers, with a strong culture of excellence, innovation, and impact Partner directly with executive leadership to identify breakthrough opportunities where our human data advance AI capabilities Create a technical vision that positions Prolific as the leader in human-centered AI development Establish a technical culture that attracts and retains exceptional talent in a competitive market Technical Direction Lead the development of sophisticated ML/AI systems that enhance how human feedback is collected, validated, and utilized Spearhead the creation of robust measurement frameworks and experimental designs to quantify our platform's capabilities and support emerging AI evaluation needs Establish technical standards and best practices across data science and AI engineering Balance technical innovation with operational excellence and business impact Cross-Functional Impact Translate technical capabilities into competitive advantages for the platform Collaborate with platform engineering to create seamless integration paths for your team's innovations Partner with research to rapidly operationalize promising approaches Work with product teams to enhance platform capabilities through intelligent systems Influence how the AI industry approaches human feedback through thought leadership What You'll Bring 6+ years of experience in data science, AI/ML engineer, or related fields - preferably in leadership roles Proven track record of building and scaling high-performing teams Experience applying both traditional machine learning and modern AI techniques to solve real business problems Strategic vision for how human data can fundamentally improve AI systems Experience working with behavioral data, human feedback systems, or AI evaluation methodologies preferred - with interest in exploring innovative applications Ability to work quickly in a fast paced challenging environment and deliver high quality results to stakeholders Experience collaborating effectively with platform engineering and research teams Demonstrated ability to balance innovation with practical delivery of robust, scalable systems Exceptional communication skills with ability to influence at all levels of the organization Strategic mindset with hands-on technical capabilities and a practical approach to problem-solving Why Prolific is a great place to work We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation - one that reflects the breath and the best of humanity. Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture.
May 12, 2025
Full time
Prolific is not just another player in the AI space - we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditised, it's the quality and diversity of human-generated data that truly differentiates products and models. The Role Lead the technical team that's revolutionising how AI learns from humans. At Prolific, you'll build and direct the data science and AI/ML engineering function that powers the world's leading platform for human feedback collection - enabling AI developers to efficiently incorporate human intelligence into their models. Your team will solve challenges across the full ML/AI spectrum: creating intelligent systems that optimize feedback quality, design behavioural modeling at scale, and developing breakthrough methods for effective human-AI interaction. This isn't just another technical leadership role; you'll directly shape how the industry incorporates human intelligence into the next generation of AI systems, with immediate access to a unique human data asset that positions you to make outsized impact. What You'll Be Doing Strategic Leadership Develop and execute Prolific's data science and applied AI strategy Build and scale high-performing teams of data scientists and AI/ML engineers, with a strong culture of excellence, innovation, and impact Partner directly with executive leadership to identify breakthrough opportunities where our human data advance AI capabilities Create a technical vision that positions Prolific as the leader in human-centered AI development Establish a technical culture that attracts and retains exceptional talent in a competitive market Technical Direction Lead the development of sophisticated ML/AI systems that enhance how human feedback is collected, validated, and utilized Spearhead the creation of robust measurement frameworks and experimental designs to quantify our platform's capabilities and support emerging AI evaluation needs Establish technical standards and best practices across data science and AI engineering Balance technical innovation with operational excellence and business impact Cross-Functional Impact Translate technical capabilities into competitive advantages for the platform Collaborate with platform engineering to create seamless integration paths for your team's innovations Partner with research to rapidly operationalize promising approaches Work with product teams to enhance platform capabilities through intelligent systems Influence how the AI industry approaches human feedback through thought leadership What You'll Bring 6+ years of experience in data science, AI/ML engineer, or related fields - preferably in leadership roles Proven track record of building and scaling high-performing teams Experience applying both traditional machine learning and modern AI techniques to solve real business problems Strategic vision for how human data can fundamentally improve AI systems Experience working with behavioral data, human feedback systems, or AI evaluation methodologies preferred - with interest in exploring innovative applications Ability to work quickly in a fast paced challenging environment and deliver high quality results to stakeholders Experience collaborating effectively with platform engineering and research teams Demonstrated ability to balance innovation with practical delivery of robust, scalable systems Exceptional communication skills with ability to influence at all levels of the organization Strategic mindset with hands-on technical capabilities and a practical approach to problem-solving Why Prolific is a great place to work We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation - one that reflects the breath and the best of humanity. Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture.
Applied Scientist II, Last Mile Address Intelligence (LMAI) Customer addresses, geospatial information, and road-network play a crucial role in Amazon Logistics' Delivery Planning systems. We own exciting science problems in the areas of address normalization, geocode learning, maps learning, and time estimations including route-time, delivery-time, and transit-time predictions which are key inputs in delivery planning. As part of the Geospatial science team within Last Mile, you will partner closely with other scientists and engineers in a collegial environment to develop enterprise ML solutions with a clear path to business impact. The setting also gives you an opportunity to think about a complex large-scale problem for multiple years and build increasingly sophisticated solutions year over year. In the process, there will be opportunities to innovate, explore SOTA, and publish the research in internal and external ML conferences. The Role: As an Applied Scientist II, you will tackle complex challenges in address normalization, geospatial analysis, and predictive modeling for delivery operations. You will work on enterprise-scale machine learning solutions, developing and implementing sophisticated algorithms that directly impact business outcomes. This role offers the opportunity to innovate with state-of-the-art technologies, including large language models and advanced AI applications. Technical Scope: Your work will encompass address intelligence, involving complex data processing across multiple languages and regions. You'll develop machine learning frameworks that handle geographical relationships, location attributes, and routing optimizations. The role includes working with diverse data sources, including mapping information, geographical datasets, and various location identifiers. The ideal candidate will possess deep knowledge of machine learning methods for large-scale predictive modeling, natural language processing, and graph-based learning. Experience in productionizing ML models and good communication skills are essential. You should be comfortable explaining complex technical concepts to diverse stakeholders and working collaboratively in a fast-paced environment. This position offers significant opportunities for professional development, including working on multi-year complex problems, publishing research in prestigious ML conferences, and developing innovative solutions using technologies. You'll have end-to-end ownership of projects from design through implementation, with the chance to make meaningful contributions to large-scale logistics operations. Key Job Responsibilities As an Applied Scientist II, your responsibility will be to deliver on a well-defined but complex business problem, explore SOTA technologies including GenAI, and customize the large models as suitable for the application. Your job will be to work on an end-to-end business problem from design to experimentation and implementation. There is also an opportunity to work on open-ended ML directions within the space and publish the work in prestigious ML conferences. About the Team The Last Mile Address Intelligence (LMAI) team owns the worldwide charter for address and location learning solutions which are crucial for efficient Last Mile delivery planning. The team works out of Hyderabad and Bangalore offices in India. LMAI is a part of the Geospatial science team, which also owns problems in the space of maps learning and travel time estimations. The rest of the Geospatial science team and senior leadership of Last Mile org works out of Bellevue office. BASIC QUALIFICATIONS 3+ years of building models for business application experience Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python, or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS Experience using Unix/Linux Experience in professional software development Master's degree Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
May 12, 2025
Full time
Applied Scientist II, Last Mile Address Intelligence (LMAI) Customer addresses, geospatial information, and road-network play a crucial role in Amazon Logistics' Delivery Planning systems. We own exciting science problems in the areas of address normalization, geocode learning, maps learning, and time estimations including route-time, delivery-time, and transit-time predictions which are key inputs in delivery planning. As part of the Geospatial science team within Last Mile, you will partner closely with other scientists and engineers in a collegial environment to develop enterprise ML solutions with a clear path to business impact. The setting also gives you an opportunity to think about a complex large-scale problem for multiple years and build increasingly sophisticated solutions year over year. In the process, there will be opportunities to innovate, explore SOTA, and publish the research in internal and external ML conferences. The Role: As an Applied Scientist II, you will tackle complex challenges in address normalization, geospatial analysis, and predictive modeling for delivery operations. You will work on enterprise-scale machine learning solutions, developing and implementing sophisticated algorithms that directly impact business outcomes. This role offers the opportunity to innovate with state-of-the-art technologies, including large language models and advanced AI applications. Technical Scope: Your work will encompass address intelligence, involving complex data processing across multiple languages and regions. You'll develop machine learning frameworks that handle geographical relationships, location attributes, and routing optimizations. The role includes working with diverse data sources, including mapping information, geographical datasets, and various location identifiers. The ideal candidate will possess deep knowledge of machine learning methods for large-scale predictive modeling, natural language processing, and graph-based learning. Experience in productionizing ML models and good communication skills are essential. You should be comfortable explaining complex technical concepts to diverse stakeholders and working collaboratively in a fast-paced environment. This position offers significant opportunities for professional development, including working on multi-year complex problems, publishing research in prestigious ML conferences, and developing innovative solutions using technologies. You'll have end-to-end ownership of projects from design through implementation, with the chance to make meaningful contributions to large-scale logistics operations. Key Job Responsibilities As an Applied Scientist II, your responsibility will be to deliver on a well-defined but complex business problem, explore SOTA technologies including GenAI, and customize the large models as suitable for the application. Your job will be to work on an end-to-end business problem from design to experimentation and implementation. There is also an opportunity to work on open-ended ML directions within the space and publish the work in prestigious ML conferences. About the Team The Last Mile Address Intelligence (LMAI) team owns the worldwide charter for address and location learning solutions which are crucial for efficient Last Mile delivery planning. The team works out of Hyderabad and Bangalore offices in India. LMAI is a part of the Geospatial science team, which also owns problems in the space of maps learning and travel time estimations. The rest of the Geospatial science team and senior leadership of Last Mile org works out of Bellevue office. BASIC QUALIFICATIONS 3+ years of building models for business application experience Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python, or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS Experience using Unix/Linux Experience in professional software development Master's degree Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Job ID: Amazon Development Center (Tel Aviv) Are you a scientist interested in pushing the state of the art in machine learning and recommendation systems? Are you interested in working on novel ideas that can positively impact millions of customers? Do you wish you had access to large datasets and tremendous computational resources? Answer yes to any of these questions and you will be a great fit for our team at Amazon. Our team is part of Amazon's Personalization organization, a high-performing group that leverages Amazon's expertise in machine learning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers. Our team builds large-scale machine-learning solutions that delight customers with personalized content recommendations, at the right time, with the right level of explanation. As a Senior Applied Scientist in our team, you will lead the research, design, and development of new AI technologies for personalization. You will adopt or invent new machine learning and analytical techniques in the realm of recommendations and large language models. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include inventing, experimenting with, and launching new features, products and systems. Please visit for more information. BASIC QUALIFICATIONS - PhD in CS/EE or related field - 5+ years of applied research experience post PhD, building and launching deep learning/machine learning models for business applications - Strong CS foundations (data structures and algorithms) - Excellent coding and design skills, proficiency with programming languages such as Java or Python - Several publications at top-tier peer-reviewed research conferences or journals - Strong communication and collaboration skills PREFERRED QUALIFICATIONS - Experience with leading and defining research and development practices in an applied science environment - Experience with Information Retrieval, Recommender Systems and/or Personalization algorithms - Publications at top Recommender Systems, Machine Learning, and/or Natural Language Processing conferences such as KDD, ICML, NeurIPS, ACL, EMNLP - Service as a Program Committee member in top-tier conferences Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
May 12, 2025
Full time
Job ID: Amazon Development Center (Tel Aviv) Are you a scientist interested in pushing the state of the art in machine learning and recommendation systems? Are you interested in working on novel ideas that can positively impact millions of customers? Do you wish you had access to large datasets and tremendous computational resources? Answer yes to any of these questions and you will be a great fit for our team at Amazon. Our team is part of Amazon's Personalization organization, a high-performing group that leverages Amazon's expertise in machine learning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers. Our team builds large-scale machine-learning solutions that delight customers with personalized content recommendations, at the right time, with the right level of explanation. As a Senior Applied Scientist in our team, you will lead the research, design, and development of new AI technologies for personalization. You will adopt or invent new machine learning and analytical techniques in the realm of recommendations and large language models. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include inventing, experimenting with, and launching new features, products and systems. Please visit for more information. BASIC QUALIFICATIONS - PhD in CS/EE or related field - 5+ years of applied research experience post PhD, building and launching deep learning/machine learning models for business applications - Strong CS foundations (data structures and algorithms) - Excellent coding and design skills, proficiency with programming languages such as Java or Python - Several publications at top-tier peer-reviewed research conferences or journals - Strong communication and collaboration skills PREFERRED QUALIFICATIONS - Experience with leading and defining research and development practices in an applied science environment - Experience with Information Retrieval, Recommender Systems and/or Personalization algorithms - Publications at top Recommender Systems, Machine Learning, and/or Natural Language Processing conferences such as KDD, ICML, NeurIPS, ACL, EMNLP - Service as a Program Committee member in top-tier conferences Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Applied Science Manager, Alexa Conversational Modeling & Learning Job ID: Evi Technologies Limited As a Applied Science Manager within Alexa in the Conversational Modeling & Learning Org, you will bring business and industry context to science and technology decisions. You will set the standard for scientific excellence for your team and make decisions that affect the way we build and integrate LLMs for powering Alexa. You solicit differing views across your team and are willing to change your mind as you learn more. Your artifacts are exemplary and often used as reference across organization. In this role, you will innovate in the fastest-moving fields of LLMs, in particular in how to build LLMs including all phases (CPT, SFT, LHF) that works at Alexa scale. If you are deeply familiar with LLMs, natural language processing, and machine learning and have experience managing high-performing research teams, this may be the right opportunity for you. Our fast-paced environment requires a high degree of independence in making decisions and driving ambitious research agendas all the way to production. You will work with other science and engineering teams as well as business stakeholders to maximize velocity and impact of your team's contributions. It's an exciting time to be a leader in AI research, and LLMs in particular. In Amazon's CAMEL Org, you can make your mark by improving Amazon customers worldwide using Alexa on daily basis! Key job responsibilities You will be responsible for leading a highly performing science team, defining key research directions for the team, building a science roadmap and executing it. You will conduct science experiments by yourself to form your own intuition and help the team direction. You will communicate experiments results, milestones and roadmap delivery to various stakeholders in the Org. You will be working with your team members to grow their careers and achieve their career aspirations. You will be technically quite solid and with a passion for building scalable science and engineering solutions. About the team Alexa is the intelligent agent that powers Echo and other devices designed around your voice. Our team is creating the science and technology behind Alexa. We're working hard, having fun, and making history. Come join our team! You will have an enormous opportunity to impact the customer experience, design, architecture, and implementation of a product used every day by people you know. BASIC QUALIFICATIONS PhD Knowledge of ML, NLP, Information Retrieval and Analytics Experience directly managing scientists or machine learning engineers Experience programming in Java, C++, Python or related language Experience in building machine learning models for business application Experience in applied research Knowledge of machine learning approaches and algorithms PREFERRED QUALIFICATIONS Experience building machine learning models or developing algorithms for business application Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs Experience hiring and growing top talent Strong publication record in top-tier journals and conferences. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon.
May 12, 2025
Full time
Applied Science Manager, Alexa Conversational Modeling & Learning Job ID: Evi Technologies Limited As a Applied Science Manager within Alexa in the Conversational Modeling & Learning Org, you will bring business and industry context to science and technology decisions. You will set the standard for scientific excellence for your team and make decisions that affect the way we build and integrate LLMs for powering Alexa. You solicit differing views across your team and are willing to change your mind as you learn more. Your artifacts are exemplary and often used as reference across organization. In this role, you will innovate in the fastest-moving fields of LLMs, in particular in how to build LLMs including all phases (CPT, SFT, LHF) that works at Alexa scale. If you are deeply familiar with LLMs, natural language processing, and machine learning and have experience managing high-performing research teams, this may be the right opportunity for you. Our fast-paced environment requires a high degree of independence in making decisions and driving ambitious research agendas all the way to production. You will work with other science and engineering teams as well as business stakeholders to maximize velocity and impact of your team's contributions. It's an exciting time to be a leader in AI research, and LLMs in particular. In Amazon's CAMEL Org, you can make your mark by improving Amazon customers worldwide using Alexa on daily basis! Key job responsibilities You will be responsible for leading a highly performing science team, defining key research directions for the team, building a science roadmap and executing it. You will conduct science experiments by yourself to form your own intuition and help the team direction. You will communicate experiments results, milestones and roadmap delivery to various stakeholders in the Org. You will be working with your team members to grow their careers and achieve their career aspirations. You will be technically quite solid and with a passion for building scalable science and engineering solutions. About the team Alexa is the intelligent agent that powers Echo and other devices designed around your voice. Our team is creating the science and technology behind Alexa. We're working hard, having fun, and making history. Come join our team! You will have an enormous opportunity to impact the customer experience, design, architecture, and implementation of a product used every day by people you know. BASIC QUALIFICATIONS PhD Knowledge of ML, NLP, Information Retrieval and Analytics Experience directly managing scientists or machine learning engineers Experience programming in Java, C++, Python or related language Experience in building machine learning models for business application Experience in applied research Knowledge of machine learning approaches and algorithms PREFERRED QUALIFICATIONS Experience building machine learning models or developing algorithms for business application Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs Experience hiring and growing top talent Strong publication record in top-tier journals and conferences. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon.
Sr. Applied Scientist, Generative AI Innovation Center Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for Sr. Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities As an Applied Scientist, you will: Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges. Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to product and engineering teams to help define product direction. A day in the life This is a customer facing role. You will be required to travel to client locations and deliver professional services as needed. About the team Sales, Marketing and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest-growing small- and mid-market accounts to enterprise-level customers, including the public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. The Professional Services team is part of Global Services. About AWS AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Minimum Requirements PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, OR Masters degree plus 10 years of relevant work experience. 5+ years of hands on experience with Python to build, train, and evaluate models. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing. Experience with design, development, and optimization of generative AI solutions, algorithms, or technologies. Experience in patents or publications at top-tier peer-reviewed conferences or journals. Experience with the design, deployment, evaluation, and optimization of Large Language Model (LLM)-powered agents, tools, and orchestration approaches, including the development of high-quality prompts and templates to guide the behavior and responses of LLMs. Experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/or similar tools. Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker. Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts. Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
May 12, 2025
Full time
Sr. Applied Scientist, Generative AI Innovation Center Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for Sr. Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities As an Applied Scientist, you will: Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges. Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to product and engineering teams to help define product direction. A day in the life This is a customer facing role. You will be required to travel to client locations and deliver professional services as needed. About the team Sales, Marketing and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest-growing small- and mid-market accounts to enterprise-level customers, including the public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. The Professional Services team is part of Global Services. About AWS AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Minimum Requirements PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, OR Masters degree plus 10 years of relevant work experience. 5+ years of hands on experience with Python to build, train, and evaluate models. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing. Experience with design, development, and optimization of generative AI solutions, algorithms, or technologies. Experience in patents or publications at top-tier peer-reviewed conferences or journals. Experience with the design, deployment, evaluation, and optimization of Large Language Model (LLM)-powered agents, tools, and orchestration approaches, including the development of high-quality prompts and templates to guide the behavior and responses of LLMs. Experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/or similar tools. Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker. Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts. Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Location: Haywards Heath, Home Office (Remote) or Manchester Salary: From £80,000 depending on experience Department: Underwriting We're First Central Insurance & Technology Group (First Central for short), an innovative, market-leading insurance company. We protect the things customers love so they can get on with what matters to them in life. Data drives us. It fuels our outstanding distribution, finance, technology and legal services. Our underwriting skills are built on data expertise; it creates the insights we need to give the right cover to the right customers at the right price. But, it's the people inside and outside our business that power us. They make us stand out, help us succeed. We're ambitious. We're growing. We've won awards. Are you an expert in the insurance industry with a strong background in data science? Do you have proven leadership experience and the ability to guide teams to success? If so, we want to hear from you! We're looking for a Data Science Manager to join our Underwriting team either working remotely or based in our Salford Quays, Manchester or Haywards Heath, West Sussex offices. As our Data Science Manager you'll work as part of a team of Data Scientists and other specialists to help deliver a portfolio of innovative services, discovering and creating value from the Company's vast array of information assets. Your main focus will be to manage the delivery of value through the team, balancing proposed projects with explorative research to push the company forward. You'll develop initiatives designed to deliver value through data science, planning these into delivery plans and wider books of work. You will be an advocate of continuous improvement, and be keen to promote education and development opportunities, both within the Data Science team, and with wider stakeholders. Recognising the dependencies Group companies have on technology provided in-house, you will work collaboratively and seamlessly with the Group's in-house technology provider along with data presentation/delivery teams located in multiple locations. Core skills we're looking for to succeed in the role: Knowledge of the Insurance space Data Science Expertise Experience in a leadership role Nice to have skills, but optional: Knowledge of Python Experience using Agile/Change methodologies What's involved: Find opportunities for, scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems Manage a team of Data Scientists, reviewing outputs, planning delivery timelines, developing talent and internal capability Develop data assets that assist with the ongoing ambitions of the team, with defined guidelines for both internal and external data utilization Build strong relationships with stakeholders from around the business, keeping abreast of upcoming change, or areas for improvement Grow the impact of Data Science across the Group, increase the number of deployed solutions, identify previously unexplored areas of modelling or analysis Role model best practice, with focuses on efficiency and long term success Monitor the latest techniques and solutions being utilised in the wider industry Maintain departmental risk registers providing evidence and commentary for controls, updates for Mitigation Actions and maintaining control matrices and attestations. Comply with the requirements, and act in accordance with, the Group Code of Conduct and Fitness and Propriety policies at all times Ensure compliance with Company Policies, Values and guidelines and other relevant standards/ regulations at all times. Any other reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical models (eg GBMs, GLMs, clustering techniques, etc) Familiarity with UK open source data and datasets valuable to personal lines insurance pricing Experienced people manager Familiarity of risks associated with unstructured data, model deployment infrastructure and live deployment of data science solutions Appreciation of policy and claims processes and conduct risks Knowledge of data science toolkits and languages, such as R, Python, Scala High performing experience in data science and data analysis Experience of utilising system integration techniques such as APIs, web services Understanding of a service based approach to professional services. Experience delivering through Agile change framework Strong technical leader, able to recruit and develop a strong team Good communication skills, both verbal and written Good time management and organisation skills Proven analytical and statistical modelling skills Degree in Data Science or other quantitative field Behaviours Self-motivated and enthusiastic with the desire to meet or exceed targets Determined and passionate, particularly regarding data and technology Supports development of peers and wider team capability A decision maker with an ability to work on own initiative or as part of a team Takes accountability and ownership of problems and solutions A flexible approach and positive attitude Strives to drive business improvements contributing to the success of the business An organised and proactive approach Role model for other team members So, if you're up for the challenge and would like to join our vibrant and busy team, we want to hear from you today. People first. Always. We're passionate about our colleagues and know the best people deserve an extraordinary working environment. We owe it to them so that's what we offer. Our workplaces are energetic, inspirational, supportive.
May 12, 2025
Full time
Location: Haywards Heath, Home Office (Remote) or Manchester Salary: From £80,000 depending on experience Department: Underwriting We're First Central Insurance & Technology Group (First Central for short), an innovative, market-leading insurance company. We protect the things customers love so they can get on with what matters to them in life. Data drives us. It fuels our outstanding distribution, finance, technology and legal services. Our underwriting skills are built on data expertise; it creates the insights we need to give the right cover to the right customers at the right price. But, it's the people inside and outside our business that power us. They make us stand out, help us succeed. We're ambitious. We're growing. We've won awards. Are you an expert in the insurance industry with a strong background in data science? Do you have proven leadership experience and the ability to guide teams to success? If so, we want to hear from you! We're looking for a Data Science Manager to join our Underwriting team either working remotely or based in our Salford Quays, Manchester or Haywards Heath, West Sussex offices. As our Data Science Manager you'll work as part of a team of Data Scientists and other specialists to help deliver a portfolio of innovative services, discovering and creating value from the Company's vast array of information assets. Your main focus will be to manage the delivery of value through the team, balancing proposed projects with explorative research to push the company forward. You'll develop initiatives designed to deliver value through data science, planning these into delivery plans and wider books of work. You will be an advocate of continuous improvement, and be keen to promote education and development opportunities, both within the Data Science team, and with wider stakeholders. Recognising the dependencies Group companies have on technology provided in-house, you will work collaboratively and seamlessly with the Group's in-house technology provider along with data presentation/delivery teams located in multiple locations. Core skills we're looking for to succeed in the role: Knowledge of the Insurance space Data Science Expertise Experience in a leadership role Nice to have skills, but optional: Knowledge of Python Experience using Agile/Change methodologies What's involved: Find opportunities for, scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems Manage a team of Data Scientists, reviewing outputs, planning delivery timelines, developing talent and internal capability Develop data assets that assist with the ongoing ambitions of the team, with defined guidelines for both internal and external data utilization Build strong relationships with stakeholders from around the business, keeping abreast of upcoming change, or areas for improvement Grow the impact of Data Science across the Group, increase the number of deployed solutions, identify previously unexplored areas of modelling or analysis Role model best practice, with focuses on efficiency and long term success Monitor the latest techniques and solutions being utilised in the wider industry Maintain departmental risk registers providing evidence and commentary for controls, updates for Mitigation Actions and maintaining control matrices and attestations. Comply with the requirements, and act in accordance with, the Group Code of Conduct and Fitness and Propriety policies at all times Ensure compliance with Company Policies, Values and guidelines and other relevant standards/ regulations at all times. Any other reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical models (eg GBMs, GLMs, clustering techniques, etc) Familiarity with UK open source data and datasets valuable to personal lines insurance pricing Experienced people manager Familiarity of risks associated with unstructured data, model deployment infrastructure and live deployment of data science solutions Appreciation of policy and claims processes and conduct risks Knowledge of data science toolkits and languages, such as R, Python, Scala High performing experience in data science and data analysis Experience of utilising system integration techniques such as APIs, web services Understanding of a service based approach to professional services. Experience delivering through Agile change framework Strong technical leader, able to recruit and develop a strong team Good communication skills, both verbal and written Good time management and organisation skills Proven analytical and statistical modelling skills Degree in Data Science or other quantitative field Behaviours Self-motivated and enthusiastic with the desire to meet or exceed targets Determined and passionate, particularly regarding data and technology Supports development of peers and wider team capability A decision maker with an ability to work on own initiative or as part of a team Takes accountability and ownership of problems and solutions A flexible approach and positive attitude Strives to drive business improvements contributing to the success of the business An organised and proactive approach Role model for other team members So, if you're up for the challenge and would like to join our vibrant and busy team, we want to hear from you today. People first. Always. We're passionate about our colleagues and know the best people deserve an extraordinary working environment. We owe it to them so that's what we offer. Our workplaces are energetic, inspirational, supportive.
Location: Haywards Heath, Home Office (Remote) or Manchester Salary: From £80,000 depending on experience Department: Underwriting We're First Central Insurance & Technology Group (First Central for short), an innovative, market-leading insurance company. We protect the things customers love so they can get on with what matters to them in life. Data drives us. It fuels our outstanding distribution, finance, technology and legal services. Our underwriting skills are built on data expertise; it creates the insights we need to give the right cover to the right customers at the right price. But, it's the people inside and outside our business that power us. They make us stand out, help us succeed. We're ambitious. We're growing. We've won awards. Are you an expert in the insurance industry with a strong background in data science? Do you have proven leadership experience and the ability to guide teams to success? If so, we want to hear from you! We're looking for a Data Science Manager to join our Underwriting team either working remotely or based in our Salford Quays, Manchester or Haywards Heath, West Sussex offices. As our Data Science Manager you'll work as part of a team of Data Scientists and other specialists to help deliver a portfolio of innovative services, discovering and creating value from the Company's vast array of information assets. Your main focus will be to manage the delivery of value through the team, balancing proposed projects with explorative research to push the company forward. You'll develop initiatives designed to deliver value through data science, planning these into delivery plans and wider books of work. You will be an advocate of continuous improvement, and be keen to promote education and development opportunities, both within the Data Science team, and with wider stakeholders. Recognising the dependencies Group companies have on technology provided in-house, you will work collaboratively and seamlessly with the Group's in-house technology provider along with data presentation/delivery teams located in multiple locations. Core skills we're looking for to succeed in the role: Knowledge of the Insurance space Data Science Expertise Experience in a leadership role Nice to have skills, but optional: Knowledge of Python Experience using Agile/Change methodologies What's involved: Find opportunities for, scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems Manage a team of Data Scientists, reviewing outputs, planning delivery timelines, developing talent and internal capability Develop data assets that assist with the ongoing ambitions of the team, with defined guidelines for both internal and external data utilization Build strong relationships with stakeholders from around the business, keeping abreast of upcoming change, or areas for improvement Grow the impact of Data Science across the Group, increase the number of deployed solutions, identify previously unexplored areas of modelling or analysis Role model best practice, with focuses on efficiency and long term success Monitor the latest techniques and solutions being utilised in the wider industry Maintain departmental risk registers providing evidence and commentary for controls, updates for Mitigation Actions and maintaining control matrices and attestations. Comply with the requirements, and act in accordance with, the Group Code of Conduct and Fitness and Propriety policies at all times Ensure compliance with Company Policies, Values and guidelines and other relevant standards/ regulations at all times. Any other reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical models (eg GBMs, GLMs, clustering techniques, etc) Familiarity with UK open source data and datasets valuable to personal lines insurance pricing Experienced people manager Familiarity of risks associated with unstructured data, model deployment infrastructure and live deployment of data science solutions Appreciation of policy and claims processes and conduct risks Knowledge of data science toolkits and languages, such as R, Python, Scala High performing experience in data science and data analysis Experience of utilising system integration techniques such as APIs, web services Understanding of a service based approach to professional services. Experience delivering through Agile change framework Strong technical leader, able to recruit and develop a strong team Good communication skills, both verbal and written Good time management and organisation skills Proven analytical and statistical modelling skills Degree in Data Science or other quantitative field Behaviours Self-motivated and enthusiastic with the desire to meet or exceed targets Determined and passionate, particularly regarding data and technology Supports development of peers and wider team capability A decision maker with an ability to work on own initiative or as part of a team Takes accountability and ownership of problems and solutions A flexible approach and positive attitude Strives to drive business improvements contributing to the success of the business An organised and proactive approach Role model for other team members So, if you're up for the challenge and would like to join our vibrant and busy team, we want to hear from you today. People first. Always. We're passionate about our colleagues and know the best people deserve an extraordinary working environment. We owe it to them so that's what we offer. Our workplaces are energetic, inspirational, supportive.
May 12, 2025
Full time
Location: Haywards Heath, Home Office (Remote) or Manchester Salary: From £80,000 depending on experience Department: Underwriting We're First Central Insurance & Technology Group (First Central for short), an innovative, market-leading insurance company. We protect the things customers love so they can get on with what matters to them in life. Data drives us. It fuels our outstanding distribution, finance, technology and legal services. Our underwriting skills are built on data expertise; it creates the insights we need to give the right cover to the right customers at the right price. But, it's the people inside and outside our business that power us. They make us stand out, help us succeed. We're ambitious. We're growing. We've won awards. Are you an expert in the insurance industry with a strong background in data science? Do you have proven leadership experience and the ability to guide teams to success? If so, we want to hear from you! We're looking for a Data Science Manager to join our Underwriting team either working remotely or based in our Salford Quays, Manchester or Haywards Heath, West Sussex offices. As our Data Science Manager you'll work as part of a team of Data Scientists and other specialists to help deliver a portfolio of innovative services, discovering and creating value from the Company's vast array of information assets. Your main focus will be to manage the delivery of value through the team, balancing proposed projects with explorative research to push the company forward. You'll develop initiatives designed to deliver value through data science, planning these into delivery plans and wider books of work. You will be an advocate of continuous improvement, and be keen to promote education and development opportunities, both within the Data Science team, and with wider stakeholders. Recognising the dependencies Group companies have on technology provided in-house, you will work collaboratively and seamlessly with the Group's in-house technology provider along with data presentation/delivery teams located in multiple locations. Core skills we're looking for to succeed in the role: Knowledge of the Insurance space Data Science Expertise Experience in a leadership role Nice to have skills, but optional: Knowledge of Python Experience using Agile/Change methodologies What's involved: Find opportunities for, scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems Manage a team of Data Scientists, reviewing outputs, planning delivery timelines, developing talent and internal capability Develop data assets that assist with the ongoing ambitions of the team, with defined guidelines for both internal and external data utilization Build strong relationships with stakeholders from around the business, keeping abreast of upcoming change, or areas for improvement Grow the impact of Data Science across the Group, increase the number of deployed solutions, identify previously unexplored areas of modelling or analysis Role model best practice, with focuses on efficiency and long term success Monitor the latest techniques and solutions being utilised in the wider industry Maintain departmental risk registers providing evidence and commentary for controls, updates for Mitigation Actions and maintaining control matrices and attestations. Comply with the requirements, and act in accordance with, the Group Code of Conduct and Fitness and Propriety policies at all times Ensure compliance with Company Policies, Values and guidelines and other relevant standards/ regulations at all times. Any other reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical models (eg GBMs, GLMs, clustering techniques, etc) Familiarity with UK open source data and datasets valuable to personal lines insurance pricing Experienced people manager Familiarity of risks associated with unstructured data, model deployment infrastructure and live deployment of data science solutions Appreciation of policy and claims processes and conduct risks Knowledge of data science toolkits and languages, such as R, Python, Scala High performing experience in data science and data analysis Experience of utilising system integration techniques such as APIs, web services Understanding of a service based approach to professional services. Experience delivering through Agile change framework Strong technical leader, able to recruit and develop a strong team Good communication skills, both verbal and written Good time management and organisation skills Proven analytical and statistical modelling skills Degree in Data Science or other quantitative field Behaviours Self-motivated and enthusiastic with the desire to meet or exceed targets Determined and passionate, particularly regarding data and technology Supports development of peers and wider team capability A decision maker with an ability to work on own initiative or as part of a team Takes accountability and ownership of problems and solutions A flexible approach and positive attitude Strives to drive business improvements contributing to the success of the business An organised and proactive approach Role model for other team members So, if you're up for the challenge and would like to join our vibrant and busy team, we want to hear from you today. People first. Always. We're passionate about our colleagues and know the best people deserve an extraordinary working environment. We owe it to them so that's what we offer. Our workplaces are energetic, inspirational, supportive.
Data Science Manager (Valuations & Pricing) Competitive + Car Allowance + Bonus + Benefits! Hook BCA Posted 6 days ago Ref: FM8-02321 HS Job Title: Data Science Manager (Valuations & Pricing) Salary: Competitive + Car Allowance + Bonus + Benefits! Location: Hybrid working, home & 1-2 days a week in either BCA Hook or BCA King's Cross Working Hours: Monday - Friday, 40 hours Job Status: Permanent Who we are! The Constellation Automotive Group is the largest vertically integrated digital car marketplace in Europe, combining the leading digital brands across the segments of Consumer to Business (C2B), Business to Business (B2B) and Business to Consumer (B2C). Businesses in our group include household names such as cinch, We Buy Any Car, and Marshall Motor Group as well as industry leading British Car Auctions (BCA). Our Data Science function - now in its tenth year - sits across the Constellation Automotive Group and is at the forefront of providing data products and services that help underpin the success of these companies. Our cross-group remit is broad with our models ranging from valuation and commercial pricing to marketing and personalisation, through to operational optimisation including stock selection, delivery route optimisation and vehicle refurbishment. Now, this is where you fit in As Data Science Manager for our Valuations and Pricing team, you'll be responsible for leading the team responsible for our flagship valuation models and commercially aligned pricing models used across the group and industry to value vehicles, provide part-exchange pricing and ultimately maximising profitability within each division. You'll leverage our best-in-class framework to push continuous innovation in these products, working with our Head of Data Science to set the strategy for the Valuations and Pricing team. The ideal candidate will be highly motivated by the opportunity to develop their team through coaching and mentoring, while also being willing to be hands-on, working with our Senior Staff Engineer to provide technical leadership to the team. You'll have great technical understanding of various machine learning approaches, which would include regression methods, probabilistic pricing models, tree based gradient boosting approaches, information theory, neural networks, transfer learning, etc. While your focus will be primarily on the Valuations and Pricing Team you'll also work alongside your peers in the Marketing & Personalisation team and Operations team to contribute through leadership. As such, experience with Marketing Data Science (think Marketing Mix Modelling, Multi-touch attribution) or Operational Research is also welcome. In return you'll receive coaching and mentoring to grow as a people manager. Opportunity to have a clear and tangible impact across a group of businesses with senior stakeholder engagement. And you'll be supported by our experienced MLOps and Data Engineering teams, allowing you more time to focus on model development, research and the implementation of new novel machine learning approaches. Key Responsibilities: Lead the Valuations & Pricing Team ensuring the on-going improvements in KPIs associated with the team's products. Manage, coach and mentor a team of data scientists. Ensuring they achieve their growth goals and deliver anticipated business outcomes. Envision and support the team in implementing new ML solutions to address and prescribe for identified business priorities. Engage and build strong relationships with stakeholders across the group to identify new opportunities, communicate progress with innovations and promote the use of Valuation and Pricing products. Own the roadmap for the Valuations and Pricing team agreeing priorities with stakeholders and the Head of Data Science and enable the team to deliver against agreed targets. Work closely with the Machine Learning Operations team to deliver products to end users, leveraging and contributing to established engineering standards and best practices. Work collaboratively with the Insight & Analytics and Data Engineering teams to integrate model outputs into our data platform, ensuring their effective use in analysis and reporting. Identify and drive improvements in our product lifecycle and machine learning pipelines, enhancing efficiency and enabling the team to innovate rapidly. Utilisation of models to develop and disseminate market intelligence in a clear and concise manner to BCA's Senior Leadership. Explain the implications of models and model insights to business stakeholders and external customers in an easy-to-understand way. Knowledge and Experience: Required Skills: Experience engineering machine learning products to a high standard using Python. Excellent team management skills to lead, motivate and grow a diverse team who are geographically dispersed. Comfortable using a multi-platform stack to deliver products (Databricks, Azure ML Studio, Azure and Snowflake, SageMaker, AWS). Ability to take ownership of a broad data product-set and drive forward the delivery of new products and product features. Strong ability to communicate complex concepts clearly and concisely to technical and non-technical audiences of various levels of seniority. Proven ability to manage stakeholders. Broad expertise in machine learning methodologies, including predictive modelling, pattern recognition, and optimization techniques. Experience with reinforcement learning or transfer learning is a plus. Excellent ability to gather, develop, prioritise and deliver customer requirements. Experience with continuous integration tools, such as Azure DevOps Pipelines or GitHub Actions, for automating reporting and model deployment. Strong attention to detail, well organised and proactive in identifying and owning issues as they arise. Experience of working in an Agile framework is a plus. Experience in Marketing Data Science or Operational Research is also desirable. We've put everything in place to ensure you thrive. Competitive salaries, strong core values and an excellent benefits package that includes: Company Pension Scheme An Employee Assistance Programme Enhanced maternity, paternity, and adoption leave Access to trained Mental Health First Aiders And so much more As the automotive industry changes, we're changing with it - putting our people in the front seat for the journey. We're the number one in what we do for a reason and that's because of the people we have on our teams. If you want to be a part of a business like this; unrivalled, exciting and appreciative of the work you do, join BCA.
May 12, 2025
Full time
Data Science Manager (Valuations & Pricing) Competitive + Car Allowance + Bonus + Benefits! Hook BCA Posted 6 days ago Ref: FM8-02321 HS Job Title: Data Science Manager (Valuations & Pricing) Salary: Competitive + Car Allowance + Bonus + Benefits! Location: Hybrid working, home & 1-2 days a week in either BCA Hook or BCA King's Cross Working Hours: Monday - Friday, 40 hours Job Status: Permanent Who we are! The Constellation Automotive Group is the largest vertically integrated digital car marketplace in Europe, combining the leading digital brands across the segments of Consumer to Business (C2B), Business to Business (B2B) and Business to Consumer (B2C). Businesses in our group include household names such as cinch, We Buy Any Car, and Marshall Motor Group as well as industry leading British Car Auctions (BCA). Our Data Science function - now in its tenth year - sits across the Constellation Automotive Group and is at the forefront of providing data products and services that help underpin the success of these companies. Our cross-group remit is broad with our models ranging from valuation and commercial pricing to marketing and personalisation, through to operational optimisation including stock selection, delivery route optimisation and vehicle refurbishment. Now, this is where you fit in As Data Science Manager for our Valuations and Pricing team, you'll be responsible for leading the team responsible for our flagship valuation models and commercially aligned pricing models used across the group and industry to value vehicles, provide part-exchange pricing and ultimately maximising profitability within each division. You'll leverage our best-in-class framework to push continuous innovation in these products, working with our Head of Data Science to set the strategy for the Valuations and Pricing team. The ideal candidate will be highly motivated by the opportunity to develop their team through coaching and mentoring, while also being willing to be hands-on, working with our Senior Staff Engineer to provide technical leadership to the team. You'll have great technical understanding of various machine learning approaches, which would include regression methods, probabilistic pricing models, tree based gradient boosting approaches, information theory, neural networks, transfer learning, etc. While your focus will be primarily on the Valuations and Pricing Team you'll also work alongside your peers in the Marketing & Personalisation team and Operations team to contribute through leadership. As such, experience with Marketing Data Science (think Marketing Mix Modelling, Multi-touch attribution) or Operational Research is also welcome. In return you'll receive coaching and mentoring to grow as a people manager. Opportunity to have a clear and tangible impact across a group of businesses with senior stakeholder engagement. And you'll be supported by our experienced MLOps and Data Engineering teams, allowing you more time to focus on model development, research and the implementation of new novel machine learning approaches. Key Responsibilities: Lead the Valuations & Pricing Team ensuring the on-going improvements in KPIs associated with the team's products. Manage, coach and mentor a team of data scientists. Ensuring they achieve their growth goals and deliver anticipated business outcomes. Envision and support the team in implementing new ML solutions to address and prescribe for identified business priorities. Engage and build strong relationships with stakeholders across the group to identify new opportunities, communicate progress with innovations and promote the use of Valuation and Pricing products. Own the roadmap for the Valuations and Pricing team agreeing priorities with stakeholders and the Head of Data Science and enable the team to deliver against agreed targets. Work closely with the Machine Learning Operations team to deliver products to end users, leveraging and contributing to established engineering standards and best practices. Work collaboratively with the Insight & Analytics and Data Engineering teams to integrate model outputs into our data platform, ensuring their effective use in analysis and reporting. Identify and drive improvements in our product lifecycle and machine learning pipelines, enhancing efficiency and enabling the team to innovate rapidly. Utilisation of models to develop and disseminate market intelligence in a clear and concise manner to BCA's Senior Leadership. Explain the implications of models and model insights to business stakeholders and external customers in an easy-to-understand way. Knowledge and Experience: Required Skills: Experience engineering machine learning products to a high standard using Python. Excellent team management skills to lead, motivate and grow a diverse team who are geographically dispersed. Comfortable using a multi-platform stack to deliver products (Databricks, Azure ML Studio, Azure and Snowflake, SageMaker, AWS). Ability to take ownership of a broad data product-set and drive forward the delivery of new products and product features. Strong ability to communicate complex concepts clearly and concisely to technical and non-technical audiences of various levels of seniority. Proven ability to manage stakeholders. Broad expertise in machine learning methodologies, including predictive modelling, pattern recognition, and optimization techniques. Experience with reinforcement learning or transfer learning is a plus. Excellent ability to gather, develop, prioritise and deliver customer requirements. Experience with continuous integration tools, such as Azure DevOps Pipelines or GitHub Actions, for automating reporting and model deployment. Strong attention to detail, well organised and proactive in identifying and owning issues as they arise. Experience of working in an Agile framework is a plus. Experience in Marketing Data Science or Operational Research is also desirable. We've put everything in place to ensure you thrive. Competitive salaries, strong core values and an excellent benefits package that includes: Company Pension Scheme An Employee Assistance Programme Enhanced maternity, paternity, and adoption leave Access to trained Mental Health First Aiders And so much more As the automotive industry changes, we're changing with it - putting our people in the front seat for the journey. We're the number one in what we do for a reason and that's because of the people we have on our teams. If you want to be a part of a business like this; unrivalled, exciting and appreciative of the work you do, join BCA.
